Triple

T15900947
Position Surface form Disambiguated ID Type / Status
Subject Tokugawa Yoshinobu E385586 entity
Predicate alsoKnownAs P39 FINISHED
Object Keiki
Keiki is the nickname of Tokugawa Yoshinobu, the last shogun of Japan who oversaw the end of the Tokugawa shogunate and the transition to the Meiji Restoration.
 E1182994 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Keiki | Statement: [Tokugawa Yoshinobu, alsoKnownAs, Keiki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Keiki
Context triple: [Tokugawa Yoshinobu, alsoKnownAs, Keiki]
  • A. Kushi
    Kushi is a popular 2001 Telugu romantic drama film starring Pawan Kalyan and Bhumika Chawla, noted for its youthful love story, music, and commercial success.
  • B. Kai Kecil
    Kai Kecil is one of the main islands of the Kai archipelago in Indonesia, known for its white-sand beaches, clear turquoise waters, and traditional Maluku culture.
  • C. Kido
    Kido is a Japanese surname most famously borne by Kido Takayoshi, a key samurai statesman of the Meiji Restoration.
  • D. Kaiya
    Kaiya is a feminine given name used in various cultures, often associated with meanings related to the sea, forgiveness, or purity.
  • E. Kika
    Kika is a common diminutive or nickname for the female given name Kristina.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Keiki
Triple: [Tokugawa Yoshinobu, alsoKnownAs, Keiki]
Generated description
Keiki is the nickname of Tokugawa Yoshinobu, the last shogun of Japan who oversaw the end of the Tokugawa shogunate and the transition to the Meiji Restoration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Keiki
Target entity description: Keiki is the nickname of Tokugawa Yoshinobu, the last shogun of Japan who oversaw the end of the Tokugawa shogunate and the transition to the Meiji Restoration.
  • A. Kushi
    Kushi is a popular 2001 Telugu romantic drama film starring Pawan Kalyan and Bhumika Chawla, noted for its youthful love story, music, and commercial success.
  • B. Kai Kecil
    Kai Kecil is one of the main islands of the Kai archipelago in Indonesia, known for its white-sand beaches, clear turquoise waters, and traditional Maluku culture.
  • C. Kido
    Kido is a Japanese surname most famously borne by Kido Takayoshi, a key samurai statesman of the Meiji Restoration.
  • D. Kaiya
    Kaiya is a feminine given name used in various cultures, often associated with meanings related to the sea, forgiveness, or purity.
  • E. Kika
    Kika is a song that follows "High Heels" in a music release sequence, likely within the pop or dance genre.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563cd2f081909404d724ecc8785a completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04f3ea08190b5581768770677e8 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb13fdb6c819091c3ee5c1f199031 completed May 9, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffb208aef881909b3a00e0015c27df completed May 9, 2026, 10:15 p.m.
Created at: April 10, 2026, 4:51 a.m.